GenAI ML Senior Engineer (#25-05354)

Quantdynamicss; Texas; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Quant Dynamics Solutions seeks an experienced GenAI ML Senior Engineer to lead transformative AI initiatives in the healthcare space. The role focuses on designing scalable GenAI platforms using Vertex AI, developing RAG pipelines, and aligning models with CMS requirements.

You will mentor junior engineers, optimize prompts, and explore agentic AI approaches to interact with healthcare workflows. Collaboration with clinical teams ensures HIPAA compliance and high-quality outcomes.

Qualifications

• Experience building GenAI solutions for healthcare or CMS domains.
• Strong track record in prompt engineering and model customization.
• Familiarity with HIPAA compliance and healthcare data handling.

Responsibilities

• Architect scalable GenAI solutions using Vertex AI with RAG pipelines.
• Customize LLMs for healthcare domains aligned with CMS requirements.
• Lead prompt tuning, LoRA/PEFT, and chain-of-thought prompting initiatives.
• Mentor engineers and steer model customization and responsible GenAI practices.
• Experiment with task-driven AI agents interacting with APIs and healthcare workflows.
• Collaborate with product/clinical teams to meet HIPAA, CMS, and quality standards.
• Oversee Agile development and maintain documentation on Confluence.

Skills

GenAI

Prompt engineering

RAG

LLMs customization

Healthcare domain

CMS/HIPAA

Tools

Vertex AI

BigQuery

Confluence

Job description

Description:
We are looking for an experienced GenAI ML Senior Engineer to lead transformative AI initiatives. The ideal candidate should have healthcare and Medicare Advantage experience, deep expertise in Google Cloud Platform (Vertex AI, BigQuery), Retrieval-Augmented Generation (RAG) architectures, agentic AI frameworks, Gemini models, and mastery in advanced prompt engineering techniques.

Requirements

What You Will Do:

Architect scalable GenAI solutions using Vertex AI, incorporating RAG pipelines and agentic AI frameworks.

Customize large language models (LLMs) for healthcare-specific domains, ensuring alignment with clinical and CMS requirements.

Lead initiatives on prompt engineering optimization, including prompt tuning, parameter-efficient tuning (LoRA, PEFT), and chain-of-thought prompting.

Mentor junior engineers and set technical direction for model customization and responsible GenAI practices.

Drive experimentation around task-driven AI agents that interact with APIs, databases, and healthcare workflows.

Collaborate with product and clinical teams to ensure solutions meet HIPAA, CMS, and quality standards.

Oversee Agile development activities and maintain project documentation on Confluence.

About the Company

Quant Dynamics Solutions is consulting partner specializing in clinical & operations management, enterprise project management, professional services, and software consulting services. We help our clients increase operational efficiency by delivering innovative solutions to solve their most complex business challenges.